Profile-DP: Differential Privacy for User-Controlled Profile Release in Personalized LLM Inference
Profile-DP is introduced, a policy-aware local differential privacy framework designed specifically for user-profile release in personalized LLM inference, which provably bounds the release of user-withheld facts while treating public instructions, profile schemas, and authorized facts as public side information.
Mingchen Li, Zi-Fan Peng, Ke-Wei Sha et al.
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